The impact of ECG synchronization during acquisition of left‑atrium computed tomography model on radiation dose and arrhythmia recurrence rate after catheter ablation of atrial fibrillation - a prospective, randomized study

Abstract

BACKGROUND: The impact of ECG gating during computed tomography (CT) acquisition of left atrium (LA) model on radiation dose, image quality and ablation event-free survival rate after catheter ablation (CA) of atrial fi brillation (AF) is not well defi ned. METHODS: Sixty-two patients with paroxysmal atrial fi brillation were randomized for two types of LA CT (with vs without ECG gating) before CA. Pulmonary veins isolation was performed in all patients. Patients were followed for 12 months after CA. RESULTS: There was no difference between the groups in CA length (131.61±32.57 vs 119.84±33.18 min; p=0.108), CA fl uoroscopy time (4.48±2.19 vs 3.89±1.83 min; p=0.251), CA fl uoroscopy dose (3.99±2.79 vs 3.91 vs2.91 Gy*cm2; p=0.735), visual data quality (1.77±0.88 vs 2.0±0.63; p=0.102) and registration error (2.42±0.72 vs 2.43±0.46 mm; p=0.612). We found a signifi cant difference in CT Dose index (89.55±5.99 vs 19.19±4.33 mGy; p<0.0001) and Dose Length product (1438.87±147.75 vs 328.21±73.83 mGy*cm; p<0.0001). Twelve months after CA, 25 of 31 patients in the gated group and 24 of 31 patients in the non-gated group were free of AF (80.65 vs 77.42 %; p=0.838). CONCLUSION: ECG gating of computed tomography of LA before AF ablation burdens patients with a four times higher radiation dose while improving neither the quality of CT model or fusion of CT with the electroanatomic map. As a result, it has no signifi cant impact on arrhythmia recurrence rate after ablation (Tab. 3, Fig. 3, Ref. 25). Text in PDF www.elis.sk.

A Deep Learning Classification Approach using Feature Fusion Model for Heart Disease Diagnosis

“…The external inference has however limited the decision performance. In [6] a feature extraction process with signal denoising is presented. This method proposed soft thresholding approach in processing of ECG signal.…”